Omar Chehab

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Importance Sampling

Noise Sensitivity

Top Venues

Publications

Omar Chehab, Anna Korba
A Practical Diffusion Path for Sampling. CoRR (2024)
Omar Chehab, Alexandre Gramfort, Aapo Hyvärinen
Optimizing the Noise in Self-Supervised Learning: from Importance Sampling to Noise-Contrastive Estimation. CoRR (2023)
Omar Chehab, Aapo Hyvärinen, Andrej Risteski
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond. CoRR (2023)
Omar Chehab, Aapo Hyvärinen, Andrej Risteski
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond. NeurIPS (2023)
Omar Chehab, Alexandre Gramfort, Aapo Hyvärinen
The Optimal Noise in Noise-Contrastive Learning Is Not What You Think. CoRR (2022)
Omar Chehab, Alexandre Gramfort, Aapo Hyvärinen
The optimal noise in noise-contrastive learning is not what you think. UAI (2022)
Omar Chehab, Alexandre Defossez, Jean-Christophe Loiseau, Alexandre Gramfort, Jean-Remi King
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals. CoRR (2021)
Alexandre Gramfort, Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis A. Engemann
Learning with self-supervision on EEG data. BCI (2021)
Hubert J. Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort
Uncovering the structure of clinical EEG signals with self-supervised learning. CoRR (2020)